DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs

Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, Daisy Zhe Wang

Oct-2-2025, 01:18:14 GMT–Neural Information Processing Systems

We propose DRUM, a scalable and differentiable approach for mining first-order logical rules from knowledge graphs which resolves these problems.

artificial intelligence, expert system, machine learning, (15 more...)

Neural Information Processing Systems

Oct-2-2025, 01:18:14 GMT

Conferences PDF

Country:
- North America
  - Canada (0.04)
  - United States > Texas
    - Brazos County > College Station (0.04)

Genre:
- Research Report (0.46)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Neural Networks (0.47)
    - Statistical Learning (0.46)
  - Representation & Reasoning
    - Expert Systems (0.50)
    - Rule-Based Reasoning (0.52)
    - Semantic Networks (0.73)

Duplicate Docs Excel Report

Title
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs

Similar Docs Excel Report more

Title	Similarity	Source
None found